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Amy Wilson is a lecturer in industrial mathematics with a background in interdisciplinary applied statistics addressing problems faced by industry and government. She has worked on applications that include modeling extremes in energy capacity adequacy studies to assess risks of shortfalls, uncertainty quantification including Bayesian emulation for large-scale computer simulation models, and decision-making under uncertainty in legal cases and energy policy. Amy has a keen interest in the applications of statistics in law and energy systems. She was awarded the Edinburgh Mathematical Society Impact Prize in 2022 for her work on capacity adequacy studies in collaboration with National Grid. She has previously held postdoctoral positions at Durham and Edinburgh Universities, focusing on statistical modeling for energy systems. Her PhD at the University of Edinburgh was centered on statistical modeling for the evaluation of forensic evidence, particularly concerning multivariate evidential data related to cocaine traces on banknotes. She is interested in supervising PhD students and is open to collaboration on statistical projects and knowledge exchange. Amy is also willing to engage in expert witness work and has experience in developing training materials for the statistics in forensic science within legal sectors.
University of Edinburgh • Edinburgh
Keen focus on applied statistics and its interdisciplinary applications across various sectors.
Department of Marketing